Freelance python developer with a huge passion for data intensive & algorithmically challenging projects.
Experienced in building distributed scraping systems, trading algorithms & data streaming pipelines.
Presentation 1: How to use AI to destroy online poker
In this presentation, we will take a closer look into how AI can be used to (statistically) beat (the most) Texas hold’em poker online games. We will explore the application of several different concepts, including object detection, OCR, game theory, counterfactual regret minimization, and more.
We’ll also discover how synthetic dataset generation can be used to aid us in solving this problem.
Workshop 1: Stream processing (in Python)
In this workshop, we will discover how to use Python to process streams of data.
We will examine the concept of streams, how to process them, and the tools that Python’s standard library and ecosystem provide to make stream processing easier. The presenter will also showcase a soon-to-be-released open-source library called stream, which simplifies the creation of stream processing pipelines.
Furthermore, we will demonstrate how to use workflow orchestration libraries such as Prefect to create complex stream processing pipelines.